Role: Senior Data Engineer Role
Primary Skillset: AWS, Python, Pyspark, SQL, Databricks and Data Modelling
Experience Range: 6 to 13 Years
Job Description:
· Proven experience as a Data Engineer (typically 6-12 years, depending on level).
· Strong hands-on experience with Python for data engineering tasks.
· Proficiency in SQL (writing complex queries, performance tuning).
· Strong expertise in PySpark and Databricks.
· Hands-on experience working in AWS cloud environment (S3, Glue, EMR, Redshift, Lambda, etc.).
· Experience with data pipeline orchestration tools (e.g., Airflow, AWS Step Functions).
· Solid understanding of data modelling, warehousing, and ETL/ELT concepts.
· Knowledge of version control systems (Git) and CI/CD practices.
· Excellent problem-solving and communication skills
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